Google Research MCP Server

The Google Research MCP Server is a purpose‑built bridge between AI assistants and the living web. It implements the Model Context Protocol to expose a rich set of research tools—Google Search, website scraping, YouTube transcript extraction, and Gemini AI analysis—to any MCP‑compatible client. By centralizing these capabilities in a single server, developers can offload the complexity of API orchestration, authentication, and data transformation from their assistants, allowing them to focus on higher‑level reasoning.

At its core, the server solves two key problems: real‑time information access and cost‑effective data retrieval. The tool taps the official Google Search API, while pulls raw content from arbitrary URLs and parses YouTube videos into clean transcripts. The composite tool chains these steps together, returning a concise, Gemini‑analyzed summary in one call. Because every response is cached across an in‑memory and disk layer, repeated queries hit the cache instead of re‑issuing external requests, dramatically reducing latency and API usage.

Key capabilities include a robust YouTube transcript extraction engine that handles ten distinct error types with graceful retries and exponential backoff, ensuring reliable data even under network instability. The server also offers enterprise‑grade security through OAuth 2.1, with fine‑grained scopes for search, scraping, and analysis. Clients can connect via STDIO or HTTP+SSE, giving teams flexibility to integrate the server into existing workflows or cloud infrastructures.

Typical use cases span from chatbot knowledge bases—where an assistant must pull the latest news or product specs—to content generation pipelines, where scraped articles feed into a Gemini model for summarization or sentiment analysis. Researchers can also leverage the server to build large‑scale corpora by scraping and caching web content for downstream training or evaluation tasks. The server’s open‑source MIT license encourages customization, allowing teams to add new tools or modify caching policies without vendor lock‑in.

In summary, the Google Research MCP Server delivers a high‑performance, secure, and extensible platform that turns any AI assistant into a real‑time researcher. By abstracting away the intricacies of web APIs, caching, and error handling, it empowers developers to build smarter, faster, and more reliable AI applications.